/*-
 *
 *  * Copyright 2015 Skymind,Inc.
 *  *
 *  *    Licensed under the Apache License, Version 2.0 (the "License");
 *  *    you may not use this file except in compliance with the License.
 *  *    You may obtain a copy of the License at
 *  *
 *  *        http://www.apache.org/licenses/LICENSE-2.0
 *  *
 *  *    Unless required by applicable law or agreed to in writing, software
 *  *    distributed under the License is distributed on an "AS IS" BASIS,
 *  *    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  *    See the License for the specific language governing permissions and
 *  *    limitations under the License.
 *
 */

package org.deeplearning4j.clustering.algorithm.strategy;

import org.deeplearning4j.clustering.algorithm.condition.ClusteringAlgorithmCondition;
import org.deeplearning4j.clustering.algorithm.iteration.IterationHistory;

public interface ClusteringStrategy {

    ClusteringStrategyType getType();

    boolean isStrategyOfType(ClusteringStrategyType type);

    Integer getInitialClusterCount();

    String getDistanceFunction();

    boolean isAllowEmptyClusters();

    ClusteringAlgorithmCondition getTerminationCondition();

    boolean isOptimizationDefined();

    boolean isOptimizationApplicableNow(IterationHistory iterationHistory);

    BaseClusteringStrategy endWhenIterationCountEquals(int maxIterationCount);

    BaseClusteringStrategy endWhenDistributionVariationRateLessThan(double rate);

}
